云环境下基于组合双向拍卖的动态资源定价  

Dynamic Resource Pricing Based on Combinatorial Double Auction in Cloud Environment

作　　者：胡志刚[1] 刘艳[1] 

机构地区：[1]中南大学信息科学与工程学院,长沙410083

出　　处：《计算机工程》2012年第8期19-21,共3页Computer Engineering

基　　金：国家自然科学基金资助项目(60970038)

摘　　要：云环境下的市场交易机制缺乏灵活性,且在某些情况下定价不合理。为此,提出一种基于组合双向拍卖的动态资源定价模型,给出云资源分配与定价算法,用户通过响应时间出价,资源提供商根据负载情况要价。仿真实验结果表明,该算法与固定比例的定价算法相比,能提高18%的用户利益与9%的资源提供商利益。Currently market trading mechanism in cloud environment is inflexible, and the price is not reasonable enough in some situation. Aiming at at this problem, this paper proposes a new dynamic resource pricing model based on combinatorial double auction, and gives the algorithm of cloud resource allocation and pricing. The users determine their price according to the amount of respond time, and the resource providers ask price considering the workload of the system. Simulation experimental results show that the proposed algorithm is better than the fixed nricin algorithm. The nrofit of user is increased bv 18% and the profit of user is increased by 18% and the profit of resource provider is increased by 9%.

关 键 词：云计算 响应时间 预算 组合双向拍卖 资源定价 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]